Structural Equation Modeling Using SAS®
BSE1 :
This course introduces the experienced statistical analyst to structural equation modeling (SEM) in the CALIS procedure in SAS/STAT software. The course also introduces the PATHDIAGRAM statement in the CALIS procedure, which draws path diagrams based on fitted models. <p>Structural equation modeling is a statistical technique that combines elements of traditional multivariate models, such as regression analysis, factor analysis, and simultaneous equation modeling. These models are often represented as matrices, equations, and/or path diagrams and can explicitly account for uncertainty in observed variables and for estimation bias due to measurement error. Competing models can be compared to one another, providing information about the complex drivers of the outcome variables of interest. Many applications of SEM can be found in the social, economic, and behavioral sciences, where measurement error and uncertain causal conditions are commonly encountered. This course does not address models containing categorical endogenous variables or multilevel SEM, as these methods are not supported in the CALIS procedure.
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Who Should Attend
Most appropriately, social, behavioral, economic, and health researchers interested in fitting complex path models and latent variable models
Prerequisites
Before attending this course, you should;have a strong background in regression modeling be familiar with factor analysis be familiar with the concepts taught in Statistics II: ANOVA and Regression or have equivalent knowledge.
SAS Products Covered
SAS/STAT
Course Outline
Terminology and Conceptsintroduction simple linear regression terminologyThe CALIS Procedure introduction PATH inputPath Models path models overview mediation models assessment of model fit model validation covariance matrices as inputAn Introduction to Latent Variable Models confirmatory factor analysis leverage diagnostics and robust estimation general latent variable modelsAdditional Topics handling missing data nonnormal data further study
Live Class Schedule
Duration: 14.0 hours
Step into our live classes and experience a dynamic learning environment where you can ask questions, share ideas, and connect with your instructor and classmates. With on-demand lab hours, you can explore the material at your own pace. Our globally acclaimed instructors will motivate you to think bigger, so you can take what you've learned and achieve your biggest goals.
This course isn't publicly scheduled, but private training and mentoring may be available. Contact us to explore options.
Private Training
Get training tailored specifically for your team, led by expert SAS instructors. Choose from virtual sessions, or training at your location (or ours). Perfect for teams seeking a customized curriculum and plenty of interaction with a SAS specialist. We'll schedule it at a time that works for you.
Mentoring Services
Take your training to the next level with personalized mentoring. While private training offers structured coursework, mentoring provides hands-on, real-time support from a subject matter expert. As you work with your own data, you'll receive expert guidance to help you uncover insights, unlock the full potential of your data, and make faster progress. Perfect for those looking to apply what they’ve learned and see quicker results.